Intelligent transportation system of solar powered hybrid electric vehicles using pattern matching techniques in labview environment

Abstract

While people driving a vehicle due to the distraction of drivers many persons suffer in accidents. The main reason behind these accidents is breaking the rules and not concentrates on the road signals. The main objective of this work is to build an IoT enabled intelligent transportation system. In this paper presented by utilizing a function there we make some links between the car and the signals present on the roads. The proposed system identifies the road sign with 98% accuracy. By doing this we can minimize the accident that will happen. Additionally, by defining MPPT control algorithm we can control the BLDC motor inside the E-vehicle to consume less amount of power. And, by using color detection algorithm and shape algorithm, we can capture the road signal and we will save ourselves from accidents. In calculating the census of the death rate in 2017, we came to know that most of the people die in road accidents. They suffered to a condition that they cannot be able to lead their daily lives like normal persons. This work improvises the current infrastructure of autonomous vehicle and removes the hurdles that people facing by imparting automated algorithms.